Demand curve in the context of "Private good"

In economics, a demand shock is a sudden event that increases or decreases demand for goods or services temporarily.

A positive demand shock increases aggregate demand (AD) and a negative demand shock decreases aggregate demand. Prices of goods and services are affected in both cases. When demand for goods or services increases, its price (or price levels) increases because of a shift in the demand curve to the right. When demand decreases, its price decreases because of a shift in the demand curve to the left. Demand shocks can originate from changes in things such as tax rates, money supply, and government spending. For example, taxpayers owe the government less money after a tax cut, thereby freeing up more money available for personal spending. When the taxpayers use the money to purchase goods and services, their prices go up.

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are linearly related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the demand curve.

Correlations are useful because they can indicate a predictive relationship that can be exploited in practice. For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example, there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling. However, in general, the presence of a correlation is not sufficient to infer the presence of a causal relationship (i.e., correlation does not imply causation).

In economics, market power refers to the ability of a firm to influence the price at which it sells a product or service by manipulating either the supply or demand of the product or service to increase economic profit. In other words, market power occurs if a firm does not face a perfectly elastic demand curve and can set its price (P) above marginal cost (MC) without losing revenue. This indicates that the magnitude of market power is associated with the gap between P and MC at a firm's profit maximising level of output. The size of the gap, which encapsulates the firm's level of market dominance, is determined by the residual demand curve's form. A steeper reverse demand indicates higher earnings and more dominance in the market. Such propensities contradict perfectly competitive markets, where market participants have no market power, P = MC and firms earn zero economic profit. Market participants in perfectly competitive markets are consequently referred to as 'price takers', whereas market participants that exhibit market power are referred to as 'price makers' or 'price setters'.

The market power of any individual firm is controlled by multiple factors, including but not limited to, their size, the structure of the market they are involved in, and the barriers to entry for the particular market. A firm with market power has the ability to individually affect either the total quantity or price in the market. This said, market power has been seen to exert more upward pressure on prices due to effects relating to Nash equilibria and profitable deviations that can be made by raising prices. Price makers face a downward-sloping demand curve and as a result, price increases lead to a lower quantity demanded. The decrease in supply creates an economic deadweight loss (DWL) and a decline in consumer surplus. This is viewed as socially undesirable and has implications for welfare and resource allocation as larger firms with high markups negatively effect labour markets by providing lower wages. Perfectly competitive markets do not exhibit such issues as firms set prices that reflect costs, which is to the benefit of the customer. As a result, many countries have antitrust or other legislation intended to limit the ability of firms to accrue market power. Such legislation often regulates mergers and sometimes introduces a judicial power to compel divestiture.

In mathematics, a limiting case of a mathematical object is a special case that arises when one or more components of the object take on their most extreme possible values. For example:

• In statistics, the limiting case of the binomial distribution is the Poisson distribution. As the number of events tends to infinity in the binomial distribution, the random variable changes from the binomial to the Poisson distribution.
• A circle is a limiting case of various other figures, including the Cartesian oval, the ellipse, the superellipse, and the Cassini oval. Each type of figure is a circle for certain values of the defining parameters, and the generic figure appears more like a circle as the limiting values are approached.
• Archimedes calculated an approximate value of π by treating the circle as the limiting case of a regular polygon with 3 × 2 sides, as n gets large.
• In electricity and magnetism, the long wavelength limit is the limiting case when the wavelength is much larger than the system size.
• In economics, two limiting cases of a demand curve or supply curve are those in which the elasticity is zero (the totally inelastic case) or infinity (the infinitely elastic case).
• In finance, continuous compounding is the limiting case of compound interest in which the compounding period becomes infinitesimally small, achieved by taking the limit as the number of compounding periods per year goes to infinity.

A limiting case is sometimes a degenerate case in which some qualitative properties differ from the corresponding properties of the generic case. For example:

Value added is a term in economics for calculating the difference between market value of a product or service, and the sum value of its constituents. It is relatively expressed by the supply-demand curve for specific units of sale. Value added is distinguished from the accounting term added value which measures only the financial profits earned upon transformational processes for specific items of sale that are available on the market.

In business, total value added is calculated by tabulating the unit value added (measured by summing unit profit — the difference between sale price and production cost, unit depreciation cost, and unit labor cost) per each unit sold. Thus, total value added is equivalent to revenue minus intermediate consumption. Value added is a higher portion of revenue for integrated companies (e.g. manufacturing companies) and a lower portion of revenue for less integrated companies (e.g. retail companies); total value added is very nearly approximated by compensation of employees, which represents a return to labor, plus earnings before taxes, representative of a return to capital.

In economics, a price point is a point along the demand curve at which demand for a given product is supposed to stay relatively high.